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Autori principali: Li, Runze, Li, Lanbing, Zheng, Yuan, Li, Chuanxiao, Zeng, Xianglong
Natura: Preprint
Pubblicazione: 2026
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Accesso online:https://arxiv.org/abs/2601.12871
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author Li, Runze
Li, Lanbing
Zheng, Yuan
Li, Chuanxiao
Zeng, Xianglong
author_facet Li, Runze
Li, Lanbing
Zheng, Yuan
Li, Chuanxiao
Zeng, Xianglong
contents Artificial intelligences (AIs) are increasingly capable of emotionally engaging with humans to the point of forming intimate relationships. Yet, current studies on romantic love toward AI lack statistically validated instruments to measure romantic love toward AI, hindering empirical research. To address this gap, we reinterpreted Lee's love styles theory in the AI context and developed the Love Attitudes Scale toward AI (LAS-AI). The resulting 24-item, six-factor scale was validated across four phases using three independent samples (N = 899), demonstrating strong psychometric properties. The findings further revealed that people primarily seek practical, passionate, and companionship-based relationships with AI (i.e., Pragma, Eros, and Storge), showing little interest in a playful or noncommittal approach (i.e., Ludus). We also provided an initial exploration of the similarities and differences between romantic love with humans and AI. The LAS-AI offers a robust tool for future research on human-AI romantic relationships, with prolific implications.
format Preprint
id arxiv_https___arxiv_org_abs_2601_12871
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Measuring Love Toward AI: Development and Validation of the Love Attitudes Scale toward Artificial Intelligence (LAS-AI)
Li, Runze
Li, Lanbing
Zheng, Yuan
Li, Chuanxiao
Zeng, Xianglong
Human-Computer Interaction
H.5.2
Artificial intelligences (AIs) are increasingly capable of emotionally engaging with humans to the point of forming intimate relationships. Yet, current studies on romantic love toward AI lack statistically validated instruments to measure romantic love toward AI, hindering empirical research. To address this gap, we reinterpreted Lee's love styles theory in the AI context and developed the Love Attitudes Scale toward AI (LAS-AI). The resulting 24-item, six-factor scale was validated across four phases using three independent samples (N = 899), demonstrating strong psychometric properties. The findings further revealed that people primarily seek practical, passionate, and companionship-based relationships with AI (i.e., Pragma, Eros, and Storge), showing little interest in a playful or noncommittal approach (i.e., Ludus). We also provided an initial exploration of the similarities and differences between romantic love with humans and AI. The LAS-AI offers a robust tool for future research on human-AI romantic relationships, with prolific implications.
title Measuring Love Toward AI: Development and Validation of the Love Attitudes Scale toward Artificial Intelligence (LAS-AI)
topic Human-Computer Interaction
H.5.2
url https://arxiv.org/abs/2601.12871